Intelligent token Petri nets for modelling and control of reconfigurable automated manufacturing systems with dynamical changes

Document Type

Article

Publication Date

1-1-2011

Abstract

Considering dynamical changes in manufacturing systems, such as rework and system reconfiguration, this paper presents a new Petri net (PN) model called an intelligent token PN (ITPN). In this model, tokens representing job instances carry real-time knowledge about system status and changes just like smart cards in practice. By taking this advantage, dynamical changes of a system can be easily modelled. An ITPN can model a system in a modular way, leading to a very compact model. When changes occur, it needs to modify only the changed part from the current model. Thus, an ITPN is highly reusable. Based on the ITPN model, a deadlock-free control (DFC) policy is presented. With this control policy, an ITPN is deadlock-free and reversible. In particular, when an ITPN is changed according to the changes of the system, the policy is still applicable to the modified model. Thus, one need not modify the control policy when an ITPN model is modified. © 2011, The Institute of Measurement and Control. All rights reserved.

Identifier

79952012474 (Scopus)

Publication Title

Transactions of the Institute of Measurement and Control

External Full Text Location

https://doi.org/10.1177/0142331208095622

ISSN

01423312

First Page

9

Last Page

29

Issue

1

Volume

33

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